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CMS Power Hour at Mobile World Congress 2026 - Highlights

Use cases of AI across cybersecurity, space and defence

07 Apr 2026 International 2 min read

This CMS Power Hour explored how AI is rapidly reshaping critical infrastructure across cybersecurity, space and defence. Through expert presentations and a panel discussion, the session examined AI’s dual role as both an enabler of resilience and a source of new systemic risk — and what this means for governance, accountability and leadership decision-making.

Highlights from our CMS Power Hour at Mobile World Congress

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Key takeaways

AI is already transforming critical sectors: In cybersecurity, space and defence, AI is no longer experimental — it is embedded in operational systems with real-world consequences.

Cybersecurity has become asymmetric: AI is accelerating cybercrime by lowering skill barriers, increasing speed and scale, and enabling sophisticated phishing, deepfakes, malware and autonomous attack campaigns.

Agentic AI raises the stakes: Emerging AI agents can autonomously conduct large parts of cyberattacks, highlighting how quickly human oversight can be outpaced if governance does not keep up.

AI is also a powerful cyber defence tool: Used responsibly, AI strengthens threat detection, prioritisation, incident response and reporting, helping security teams focus on higher‑value tasks.

Inaction is the greatest cyber risk: Organisations that delay engagement with AI — either defensively or strategically — risk falling behind attackers and competitors alike.

Space is shifting from hardware to decision systems: Satellites increasingly make autonomous, real-time decisions, turning orbital infrastructure into AI‑enabled systems rather than passive assets.

Scale and speed challenge accountability in space: Mega‑constellations, dense orbits and machine‑speed decisions make coordination essential — and fault attribution increasingly complex when things go wrong.

International space law still applies: Responsibility remains with states and operators, but evidential complexity grows as decisions move inside interacting automated systems.

Markets will govern before treaties do: Insurance, licensing conditions and capital allocation are likely to drive explainability, auditability and human‑override requirements faster than formal regulatory reform.

Leadership must balance innovation and control: The most effective approach combines experimentation with clear guardrails, accountability, strong data governance and supply‑chain oversight.

Across cybersecurity, space and defence, AI is becoming infrastructure — not just innovation. While existing legal frameworks remain relevant, governance, risk management and organisational leadership must evolve to keep pace with autonomous decision‑making at scale. The central challenge is not whether AI should be used, but how to align system design with accountability, resilience and trust in environments where failures can impact multiple stakeholders and have long‑term, hard‑to‑undo effects.

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